M. L. Garg

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Data mining has emerged as most significant and continuously evolving field of research because of it's ever growing and far reaching applications into various areas such as medical, military, financial markets, banking etc. One of the most useful applications of data mining is extracting significant and earlier unknown knowledge from real-world(More)
Video streaming applications are of various types like video conferencing, video chat, video on demand and live video streaming. These different applications have different resource requirements which shall be met by the vehicular adhoc networks (VANETs) according to the availability of resources. In this paper we have analyzed video streaming applications(More)
Vehicular Adhoc Networks (VANETs) are special type of Mobile Adhoc networks (MANETs) where node movement is in pre ordered fashion but with high velocity in comparison to MANETs where nodes move in random manner. Due to high mobility of nodes, reliable data streaming in vehicular networks is a complex and challenging task. Moreover, transmission of data is(More)
— Vehicular adhoc networks are special form of Mobile adhoc networks which have more dynamic topology than MANETs but the nodes move in a preordered fashion. Due to the high mobility and complex dynamics in real vehiclular traffic flow, reliable streaming of data over Vehicular adhoc networks is a challenging task as compared to the other general mobile(More)
Many optimization problems including the network design problem of finding the bounded diameter minimum spanning tree are computationally intractable. Therefore, a practical approach for solving such problems is to employ heuristic algorithms that can find solution close to the optimal one within a reasonable amount of time. Neighborhood search algorithms(More)
Data mining has emerged as most significant and continuously evolving field of research because of it's ever growing and far reaching applications into various areas such as medical, military, financial markets, banking etc. One of the most useful applications of data mining is extracting significant and earlier unknown knowledge from real-world databases.(More)